Spatiotemporal Geospatial Modeling for 3D City Based on Edge Computing Using Statistical Framework Linear Injection Model Based on Multi-data Source Fusion
Author:
Funder
Science and Technology Project of State Grid Cooperation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-05603-w.pdf
Reference27 articles.
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3. Shen, H.; Huang, L.; Zhang, L.; Wu, P.; Zeng, C.: Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: a 26-year case study of the city of Wuhan in China. Remote Sens. Environ. 172, 109–125 (2016)
4. Zhang, C., Li, Z., Cheng, Q., Li, X., Shen, H.: Correction of "Cloud removal by fusing multi-source and multi-temporal images. arXiv preprint arXiv:1707.09959 (2017)
5. Chen, B.; Chen, L.; Huang, B.; Michishita, R.; Xu, B.: Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations. ISPRS J. Photogramm. Remote Sens. 139, 75–87 (2018)
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